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Why is testing an application via its HTTP test client (as pytest-flask facilitates) valuable, compared to only unit-testing individual functions in isolation?
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Why is testing an application via its HTTP test client (as pytest-flask facilitates) valuable, compared to only unit-testing individual functions in isolation?
Why might a pytest-flask test suite use parametrized tests (running the same test logic against multiple different input values) for validating a route's input handling?
Why might testing response headers (like Content-Type or a custom API header) be a meaningful part of a pytest-flask test, not just the response body?
Why might a test suite using pytest-flask configure the Flask app with `TESTING = True` (or a similar test-specific config) when creating the app fixture?
What is the general benefit of pytest-flask reducing per-test boilerplate (like manually creating a test client each time) compared to writing that setup code repeatedly in every test file?
What is pytest-flask?
What is a general reason integration-style tests (via pytest-flask's test client) and lower-level unit tests (testing individual functions in isolation) are often used together in a Flask project, rather than relying on just one type?
How does pytest-flask typically discover the Flask application instance to test against?
What does the `client` fixture provided by pytest-flask give a test function access to?
Why might a Flask test verify not just a successful (200) response but also how the application handles an invalid request (like malformed JSON or a missing required field)?
Why might a pytest-flask test suite mock or stub an external API call (rather than making a real network request) when testing a Flask route that depends on that external service?
Why might CI (continuous integration) commonly run the full pytest-flask test suite automatically on every pull request?